A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image
thresholding methods that are necessary for image pre-processing and initial level …

Image segmentation is imperative for image processing applications. Thresholding
technique is the easiest way of partitioning an image into different regions. Mostly, entropy …

In this paper, we present a new multi-level image thresholding technique, called Automatic
Threshold based on Multi-objective Optimization “ATMO” that combines the flexibility of multi …

This paper proposes a new multi-level entropy-based image thresholding method. The key
principle of the proposed method depends on the minimum of the variance entropy. The …

One of the critical tasks in image processing is image segmentation. Image thresholding is
the simplest technique of segmentation in two forms of bi‐level and multilevel. One …

Multilevel thresholding is the method applied to segment the given image into unique sub-
regions when the gray value distribution of the pixels is not distinct. The segmentation …

A metaheuristic algorithm called Harris hawks optimization (HHO) is gaining its popularity
among its clan and useful for optimization. In this algorithm, the prey gets completely …

A new thresholding framework is proposed which is transition region based, and consists of
deriving the transition region with the help of supervision and calculating the threshold from …

Multi-level image thresholding is a popular approach for image segmentation where the
image is divided into several non-overlapping regions based on the image histogram …

Multilevel thresholding method is one of the most popular techniques in image
segmentation. However, the multilevel thresholding method is time-consuming, its time …